Impact Data Analyst — Healthcare Analytics (Hybrid NYC)

versemedical; United States; Hybrid; USD 80,000 - 130,000; Full time

Benefits offered by this job

Competitive compensation

Rapid career advancement

100% health insurance premium coverage

401(k) with no matching

Job summary

Verse Medical is hiring a Data Analyst to turn data into decisions. You will partner with leaders to build metrics, dashboards, and analyses that influence how the business operates. You’ll translate ambiguous questions into defensible analytics assets with high ownership and impact.

You will automate reporting, surface insights, and build models for risk, classification, and cost-of-care scoring in a healthcare data context.

Qualifications

• 3+ years of experience in data analysis, BI, or analytics engineering with end-to-end ownership of reporting.
• Strong SQL and Python skills for analysis, automation, and lightweight modeling.
• Experience building dashboards and driving adoption (Metabase/Looker/Tableau/PowerBI).
• Experience developing metrics, scoring/classification models to solve business problems.
• Ability to perform exploratory analysis on ambiguous questions and communicate findings clearly.
• Proactive communicator with stakeholders; familiarity with dbt modeling and Snowflake preferred.
• Healthcare or regulated data familiarity (HIPAA) preferred; collaboration with engineers a plus.

Responsibilities

• Spearhead end-to-end analytics across business domains.
• Analyze operational and customer data to influence roadmaps.
• Partner with Sales, Ops, Product, and Leadership to define metrics and standardize reporting.
• Automate recurring reporting and data-quality checks using Python/SQL.
• Design models and algorithms to solve provider mapping, fraud risk, or cost-of-care challenges.

Skills

SQL

Python

Dashboarding

Stakeholder communication

Exploratory data analysis

Tools

Metabase

Looker

Tableau

PowerBI

dbt

Snowflake

Job description

Verse Medical is hiring a Data Analyst to turn data into decisions. You will partner with leaders to build metrics, dashboards, and analyses that influence how the business operates. You’ll translate ambiguous questions into defensible analytics assets with high ownership and impact.

You will automate reporting, surface insights, and build models for risk, classification, and cost-of-care scoring in a healthcare data context.